We areseekinga Senior Data Architect to join our TeamInnovation,reporting to our SVP Learning & Technology.The Senior Data Architectis responsible fordesigning, building, andmaintainingscalable, secure, and reliable data infrastructure that powers AmericanGlobal(AG) analytics, automation, and innovation initiatives.
This role willleadthe development of cloud-based data pipelines, system integrations, and data models that support both internal operations and external client-facing analytics and portals. The role works in close partnership with external delivery vendors during active platform build phases, serving as AGprimary technical counterpart, architecture reviewer, and knowledge transfer owner.
The Senior Data Architect serves as the technical bridge between system data sources and AGdata platforms. The position also mentors junior team members, drives best practices, and ensures alignment between technical implementation and businessobjectives.
Ideal locations are near our Jericho, NY or Oakville, Canada offices. Position can be remote.
Works closely with:VP Innovation & Insights | VP Data, Analytics and Automation | Data Engineer | Project Manager, Technology & Innovation | Business Systems Analyst
KeyResponsibilitiesInclude
Serve as AG's primary technical counterpart during vendor-led delivery engagements: review architecture decisions,validateimplementation against AG requirements, and own knowledge transfer to ensure internal capability is built, not just delivered.
Build andoptimizecloud-based data pipelines, data lakes, data warehouses, and ETL frameworks using cloud-native tooling across major platforms (Azure, AWS, or equivalent); ability to evaluate, recommend, and work within the chosen platform as AG's architecture evolves.
Design, build, and automate data models, ingestion pipelines, and transformation workflows across source systems and Medallion layers; own platform stability and schema evolution post-vendor engagement.
Design and build external client portal data layer: implement Row-Level Security (RLS) in Power BI, manage client-scoped semantic models, and support embedded analytics delivery to external stakeholders.
Design and enforce RBAC, data classification, and access control policies across all data layers using Azure Purview and Microsoft Entra ID; build andmaintainPower BI semantic models and dashboards for internal and external stakeholders, including Row-Level Security for client-scoped data.
Monitor and manage Azure cloud resource costs: right-size compute clusters, implement resource tagging, configure budget alerts, and report on consumption trends.
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